| Issue |
BIO Web Conf.
Volume 123, 2024
The 1st International Seminar on Tropical Bioresources Advancement and Technology (ISOTOBAT 2024)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 11 | |
| Section | Agriculture, Animal Sciences, Agroforestry, and Agromaritime Innovation | |
| DOI | https://doi.org/10.1051/bioconf/202412301010 | |
| Published online | 30 August 2024 | |
Maximum Entropy Modelling for Sumatran Orangutan Habitat Suitability in Ketambe Research Station
1 Master Student, Biology Department Universitas Syiah Kuala, 23111 Banda Aceh, Indonesa
2 Biology Department Universitas Syiah Kuala, 23111 Banda Aceh, Indonesia
3 Forestry Department, Universitas Sumatera Utara 20155, Medan, Indonesia
4 Department of Biochemistry, Faculty of Medicine, Universitas Kristen Indonesia. 13630 Jakarta, Indonesia
* Corresponding author: zumaidar@usk.ac.id
This research aims to examine the spatial influence on the presence of orangutans. The study models four significant environmental variables: distance from food trees, distance from rivers, elevation, and slope, using the Maximum Entropy (Maxent) software with 10 replications. The results indicate that the environmental factor with the most substantial impact on the presence of orangutans is the proximity to food trees, contributing 90.9%. On the other hand, rivers, elevation, and slope contribute minimally to the modelling. Rivers are recognized as a determinant for orangutan nest presence, given their role as a vital life source for the forest ecosystem. However, in this modelling, the distance from rivers has limited impact due to the prevalence of numerous small rivers throughout the research area. Elevation and slope play a supportive role with modest influence, attributed to orangutans' arboreal nature. These models identify areas sharing similar environmental variables with locations where orangutans are found, suggesting that conditions matching these variables are suitable for orangutans. The habitat highly suitable for Sumatran orangutans encompasses an area of 17.43 hectares (4.14%).
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.